Artificial intelligence has made many things possible: greater efficiencies, better service delivery, impressive medical breakthroughs, and various other achievements. But AI also has given bad actors a leg up when waging cyberattacks, and it’s often difficult to safeguard the data that feeds AI systems.
That’s why government agencies must consider security protections, including encryption and strong identity management controls, at the start of any AI initiative. And they should be smart about the data they introduce to AI systems, to prevent the technology from accessing inappropriate or tainted information. Agencies, after all, are confronting risks that are unlike traditional cyber threats.
“For years, we’ve been worried about data breaches where our adversaries are stealing our data to do whatever they’re going to do with it. Sell it on the black market, use my credit card to buy a TV, or something like that,” said Gina Scinta, Deputy CTO and Security Evangelist at Thales Trusted Cyber Technologies. “But with AI, the concern is not stealing the data, but altering it. And so that is why data protection and control … is even more important with AI.”
In this video interview, Scinta explores the connection between AI and cybersecurity, particularly in the government sector. Topics include:
- The scope and variety of AI-driven cyberattacks
- Using AI to strengthen cyber protection
- How to secure the massive amounts of data that AI systems use
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